| 1 | #include "base/bdmbase.h" |
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| 2 | #include "base/user_info.h" |
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| 3 | #include "stat/exp_family.h" |
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| 4 | #include "stat/discrete.h" |
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| 5 | #include "itpp_ext.h" |
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| 6 | #include "epdf_harness.h" |
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| 7 | #include "egiw_harness.h" |
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| 8 | #include "mat_checks.h" |
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| 9 | #include "UnitTest++.h" |
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| 10 | |
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| 11 | const double epsilon = 0.00001; |
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| 12 | |
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| 13 | using namespace bdm; |
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| 14 | |
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| 15 | TEST ( test_egiw ) { |
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| 16 | epdf_harness::test_config ( "egiw.cfg" ); |
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| 17 | } |
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| 18 | |
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| 19 | TEST ( test_egiw_1_2 ) { |
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| 20 | // Setup model |
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| 21 | double mu = 1.1; //unit step parametr |
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| 22 | double b = 3.0; // sequence of <1 -1 1 -1...> |
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| 23 | double s = 0.1; |
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| 24 | |
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| 25 | |
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| 26 | // TEST 1x1 EGIW |
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| 27 | mat V ( 3, 3 ); |
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| 28 | V ( 0, 0 ) = pow ( mu, 2 ) + pow ( b, 2 ) + s; |
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| 29 | V ( 1, 0 ) = mu; |
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| 30 | V ( 2, 0 ) = b; |
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| 31 | |
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| 32 | V ( 0, 1 ) = V ( 1, 0 ); |
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| 33 | V ( 1, 1 ) = 1.0; |
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| 34 | V ( 2, 1 ) = 0.0; |
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| 35 | |
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| 36 | V ( 0, 2 ) = V ( 2, 0 ); |
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| 37 | V ( 1, 2 ) = V ( 2, 1 ); |
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| 38 | V ( 2, 2 ) = 1.0; |
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| 39 | |
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| 40 | double nu = 20; |
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| 41 | |
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| 42 | egiw E ( 1, nu * V, nu ); |
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| 43 | CHECK_CLOSE ( vec ( "1.1 3.0 0.142857" ), E.mean(), epsilon ); |
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| 44 | CHECK_CLOSE ( 7.36731, E.lognc(), epsilon ); |
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| 45 | |
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| 46 | int n = 100; |
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| 47 | rectangular_support Sup; |
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| 48 | Sup.set_parameters("{[-2.,4.], [1.,5.], [0.,2.]} ", n*ones_i(E.dimension())); |
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| 49 | |
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| 50 | double summ = exp(E.evallog(Sup.first_vec())); |
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| 51 | // sum all likelihood at all points of support |
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| 52 | for ( int k = 1; k < Sup.points(); k++ ) { // ALL b |
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| 53 | summ += exp (E.evallog(Sup.next_vec())); |
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| 54 | } |
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| 55 | |
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| 56 | CHECK_CLOSE ( 1.0, summ*prod(Sup._steps()), 0.01 ); |
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| 57 | } |
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